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Predictors of Undiagnosed Diabetes in the Bangladeshi Female Population: A Propensity Score–Weighted Machine Learning Analysis of BDHS Biomarker Data
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DOI：10.1155/jdr/2162121.png)
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Abstract
En 中文
In Bangladesh, diabetes mellitus has become a substantial public health burden, imposing a strain on the population both economically and clinically. Robust methods for identifying high-risk populations using national data are urgently needed due to the increasing prevalence of metabolic noncommunicable illnesses throughout South Asia. Using data from the most recent wave of a reliable national survey, this study was aimed at creating and testing a diabetes prediction model for adult female Bangladeshis.
Keywords:
2022 BDHS
diabetes mellitus
explainable AI (XAI)
nomogram
propensity score
public health
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3.4
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2.7K
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